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audiolm-pytorch 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch

edge-connect 是用 Python 编写的学习资料，用于系统学习与查阅。

EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212

Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising 是用 Python 编写的学习资料，用于系统学习与查阅。

Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Pre-Ranking, Ranking, Post …

torchrec 是用 Python 编写的学习资料，用于系统学习与查阅。

Pytorch domain library for recommendation systems

STT 是用 C++ 编写的学习资料，用于系统学习与查阅，主打易用。

🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.

**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring

**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring

asteroid 是用 Python 编写的学习资料，用于系统学习与查阅。

The PyTorch-based audio source separation toolkit for researchers

LibMTL 是用 Python 编写的学习资料，用于系统学习与查阅。

A PyTorch Library for Multi-Task Learning

DIS 是用 Jupyter Notebook 编写的 AI 工具，用于人工智能方向的建模与推理。

This is the repo for our new project Highly Accurate Dichotomous Image Segmentation

kompute 是用 C++ 编写的学习资料，用于系统学习与查阅，主打高性能、速度快、异步并发。

General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fas…

big-sleep 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理，主打易用。

A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by https://twitter.com/a…

lanenet-lane-detection 是用 Python 编写的学习资料，用于系统学习与查阅，主打实时。

Unofficial implemention of lanenet model for real time lane detection

tensorflow-onnx 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。

Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX

deepdetect 是用 C++ 编写的学习资料，用于系统学习与查阅。

Deep Learning Server and CLI for Torch and TensorRT

TorchLeet 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。

LeetCode for PyTorch — 65 ML/AI interview problems from real interviews at Google, Meta, Anthropic. Jupyter notebooks, an auto-grader, and an MCP AI…

Auto-PyTorch 是用 Python 编写的学习资料，用于系统学习与查阅。

Automatic architecture search and hyperparameter optimization for PyTorch

gluon-nlp 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理，主打易用。

NLP made easy

hivemind 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.

awesome-deep-text-detection-recognition 是一个资源清单，按主题汇总同类优质资源。

A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.

Open-Source-Face-Recognition-SDK 是用 Python 编写的学习资料，用于系统学习与查阅。

Face Recognition, Face Liveness Detection, Face Anti-Spoofing, Face Detection, Face Landmarks, Face Compare, Face Matching, Face Pose, Face Expressi…

hyperlearn 是用 Jupyter Notebook 编写的 AI 工具，用于人工智能方向的建模与推理，主打速度快。

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

LTSF-Linear 是用 Python 编写的学习资料，用于系统学习与查阅。

[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

Semantic-Segmentation-Suite 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

Deep-Learning-for-Tracking-and-Detection 是用 HTML 编写的学习资料，用于系统学习与查阅。

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning